Building Big Data Applications
Autor Krish Krishnanen Limba Engleză Paperback – 14 noi 2019
- Explores various ways to leverage Big Data by effectively integrating it into the data warehouse
- Includes real-world case studies which clearly demonstrate Big Data technologies
- Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements
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Specificații
ISBN-13: 9780128157466
ISBN-10: 0128157461
Pagini: 242
Dimensiuni: 191 x 235 mm
Greutate: 0.42 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128157461
Pagini: 242
Dimensiuni: 191 x 235 mm
Greutate: 0.42 kg
Editura: ELSEVIER SCIENCE
Public țintă
Data analysts, data managers, researchers, and engineers who need to deal with large and complex sets of data; masters level students in data analytics programsCuprins
1. Big Data Introduction
2. Infrastructure and Technology
3. Building Big Data Applications
4. Scientific Research Applications and Usage
5. Pharmacy Industry Applications and Usage
6. Visualization, Storyboarding & Applications
7. Banking Industry Applications and Usage
8. Travel and Tourism Industry Applications and Usage
9. Governance of Building Big Data Applications
10. Delivery of Applications
11. Data Discovery with Machine Learning
Appendix: Use Cases from Industry Vendors
2. Infrastructure and Technology
3. Building Big Data Applications
4. Scientific Research Applications and Usage
5. Pharmacy Industry Applications and Usage
6. Visualization, Storyboarding & Applications
7. Banking Industry Applications and Usage
8. Travel and Tourism Industry Applications and Usage
9. Governance of Building Big Data Applications
10. Delivery of Applications
11. Data Discovery with Machine Learning
Appendix: Use Cases from Industry Vendors